{"repo":"udaykiriti/TrafficManagementSystem","free":true,"listed":false,"github":"https://github.com/udaykiriti/TrafficManagementSystem","clone":"git clone https://github.com/udaykiriti/TrafficManagementSystem.git","description":"Smart traffic system that watches roads in real time and adjusts signals basically a calm traffic cop that never gets tired.","language":"Python","stars":12,"topics":["ai","computer-vision","cpp","docker","docker-compose","genetic-algorithm","git","machine-learning","makefile","monitoring"],"license":"MIT","category":"machine-learning","readme_excerpt":"AI Traffic Management System Overview The AI Traffic Management System is an end-to-end solution designed to reduce urban congestion by dynamically adjusting traffic signal timings based on real-time vehicle density. The system utilizes computer vision for vehicle detection and a high-performance genetic algorithm to optimize traffic flow at four-way intersections. Core Workflow 1. Data Ingestion: The system receives video feeds from four cameras (one per lane) or processes uploaded video files. 2. Vehicle Detection: YOLOv4-tiny identifies and counts vehicles in each frame, categorizing them to estimate lane pressure. 3. Traffic Optimization: The vehicle counts are passed to a Genetic Algorithm implemented in C++17. This algorithm simulates various timing scenarios to find the configuration that minimizes total waiting time. 4. Signal Implementation: The optimized green-light durations are returned to the dashboard for monitoring and implementation. --- Technical Features - Object Detection: Implements YOLOv4 (You Only Look Once) via OpenCV's DNN module for high-speed vehicle identification. - Optimization Engine: Uses a Genetic Algorithm (GA) written in C++ for performance. The GA evolves a population of signal timing solutions to find a near-optimal balance for the intersection. - Real-time Analytics: A React-based web interface provides live visualizations of traffic density and system performance. - Flexible Deployment: Support for Docker and Docker Compose ensures the sy","default_branch":null,"files":null,"tree":[],"storefront":"/r/udaykiriti","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/udaykiriti/TrafficManagementSystem/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}